Exceeds

MARCH 2026

basexindustries.com Engineering AI Productivity Report

A focused summary of AI adoption, productivity lift, and code quality for the basexindustries.com engineering team.

See how AI-active teams rank this week on the Exceeds Leaderboards.

The basexindustries.com engineering team reports 90.5% AI adoption, 1.29× productivity lift, and 21.3% code quality across recent work.

These metrics track how AI integrates into delivery pipelines, how throughput changes when assistance is used, and the health of AI-supported code review outcomes.

What this report measures

We analyze commits and diffs to estimate AI adoption, productivity lift, and code quality for your engineering organization.

How to interpret these metrics

Use these signals to understand how AI assistance fits into day-to-day development, where enablement efforts drive throughput, and how review practices keep quality steady.

AI Adoption Rate

HIGH

90.5%

AI assistance is present in 90.5% of recent commits for basexindustries.com.

AI Productivity Lift

MODERATE

1.29×

AI-enabled workflows deliver an estimated 29% lift in throughput.

AI Code Quality

LOW

21.3%

Review insights show 21.3% overall code health on AI-supported changes.

How is the basexindustries.com team performing with AI?

The basexindustries.com engineering team reports 90.5% AI adoption, translating into 1.29× productivity lift while sustaining 21.3% code quality. These outcomes suggest AI-supported reviews are embedded in day-to-day delivery without trading off reliability.

Manager Questions Answered

Real questions engineering leaders ask about AI productivity, with live benchmarks and company-specific data.

What's a good company AI adoption rate?

basexindustries.com is at 90.5%. This is 46.8pp above the community median (43.7%)..

90.5%

↑46.8pp above43.7% Community Median

Keep codifying prompts and monitoring adoption so the lead over peers is sustainable.

Does AI actually make developers faster?

basexindustries.com operates at 1.29×. This is 0.16× above the community median (1.13×)..

1.29×

Roughly in line1.13× Community Median

Instrument reviewer assignment and AI summaries to trim the slowest merge steps and edge past the median.

How does AI affect code quality?

basexindustries.com holds AI-assisted quality at 21.3%. This is 1.9pp below the community median (23.3%)..

21.3%

Roughly in line23.3% Community Median

Invest in AI-specific test checklists and shadow reviews to keep quality slightly ahead of peers.

How evenly is AI use distributed across our team?

AI usage is broad—top contributors represent 29.9% of AI commits.

29.9%

Keep rotating enablement leads and pair senior reviewers with new AI adopters to retain distribution.

How can I prove AI ROI to executives?

basexindustries.com has a solid ROI signal with room to strengthen either adoption, lift, or quality before presenting to executives.

Document case studies where AI accelerates delivery while maintaining quality, and expand playbooks across teams.

See how your full organization compares

Unlock personalized insights across all your repositories, teams, and contributors.

Securely connect Exceeds with your codebase to get commit-level insights on AI adoption and performance.

How Your Company Ranks

See how top engineering organizations compare across AI adoption, productivity lift, and code quality.

AI Adoption

% of commits with AI assistance

Companies in this quartile:

ID

idesie.com

(2904.2%)

IN

inngest.com

(1429.6%)

FM

fmease.dev

(87.5%)

DI

dimagi.com

(87.5%)

Top 25% of teams adopt AI in 65-75% of their commits.

Productivity Lift

Cycle-time improvement vs baseline

Companies in this quartile:

IN

inngest.com

(4.82×)

U.

u.nus.edu

(2.87×)

AC

acad.pucrs.br

(1.12×)

MC

mcornholio.ru

(1.12×)

Top performers sustain 1.5× cycle-time improvements over six months when embedding AI into workflows.

Code Quality

Post-merge defect rate

Companies in this quartile:

IN

inngest.com

(701.7%)

ID

idesie.com

(649.2%)

GZ

gzgz.dev

(20.0%)

GW

gwu.edu

(20.0%)

Top 25% maintain quality above 92% while expanding AI usage, pairing automation with rigorous guardrails.

Rankings based on aggregated Exceeds AI dataset of 1.2M commits across open-source and enterprise engineering teams (Q4 2025).

Top contributors

Top contributors combine high AI adoption and quality output. Encourage internal sharing of best practices.

NE

new1proo

Commits19
AI Usage94.0%
Productivity Lift2.00x
Code Quality20.0%
NE

new13pro

Commits46
AI Usage92.7%
Productivity Lift1.98x
Code Quality20.0%
NE

new12pro

Commits23
AI Usage94.0%
Productivity Lift1.73x
Code Quality20.0%
NE

new10pro

Commits19
AI Usage94.0%
Productivity Lift1.64x
Code Quality20.0%
NE

newpro3

Commits20
AI Usage30.0%
Productivity Lift1.50x
Code Quality20.0%

Encourage knowledge transfer from top AI users to others through internal mentoring or recorded "AI coding walkthroughs." Balanced adoption across the team typically improves overall performance by 12-15%.

Cross-Organization Network

Shared Repositories

3

new2proo

natnael121/micron

natnael121/shop2

natiii212

natnael121/shop2

new9pro

natnael121/web1

natnael121/shop2

+1 more

new22pro

natnael121/web1

new25pro

natnael121/web1

new11pro

natnael121/web1

natnael121/micron

Activity

542 Commits

Your Network

22 People
natiii212
Member
new10pro
Member
new11pro
Member
new12pro
Member
new13pro
Member
new14pro
Member
new15pro
Member
new17pro
Member
new19pro
Member

Why these metrics matter for engineering managers

Faster delivery

1.4x lift → predictable roadmaps

Safer velocity

93% quality → lower rollback risk

Equitable gains

AI less dependency on heroes

Governance

Depth monitoring audit-ready

ExceedsExceeds AI

Turns these insights into daily coaching and automatic alerts, helping managers balance speed with sustainability.

See the truth of AI impact

Adoption + lift + quality in one view

Learn more

Know where to act first

Repo and role level "lift potential"

Learn more

Prove ROI

Export executive snapshots and benchmarks

Learn more